InTraC Knowledge Base

The central hub for finding, analysing and disseminating data of the InTraC CRC. It provides training, service and a community for getting in touch with fellow data analysis experts.

Under Development

This web resource is still under active development. Content may be incomplete or subject to change.

Workflows

Unified data analysis workflows for genomics data

Provide unified interoperable omics workflows built on Nextflow and nf-core, ensuring reproducibility across environments.

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Training

Training resources to get up to speed with data analysis

Courses from beginner to advanced for all InTraC researchers. Learn R/Python, Linux/HPC, single-cell analysis, multi-omics integration, and more.

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Data Management

Data management in the InTraC knowledge base

FAIR-compliant data management for all consortium projects. Integrates heterogeneous omics datasets from humans and animal species with standardised metadata schemas, cross-species integration, and version control.

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Analysis Platform

The interactive InTraC data analysis platform

Leverage breakthroughs in large language models to provide a tailored interactive system for complex multi-omics queries and target discovery. Natural language queries in English and German, cross-project exploration, and interactive visualisation.

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Services

Data analysis services

Provide consulting and integrative bioinformatic data analysis service to enable researchers to analyse, interpret, and integrate data across projects.

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Consulting

Short-term expert advice on experimental design, analysis strategy, and tool selection.

Mentoring

Ongoing guidance, code review, and hands-on support for your analysis projects.

Analysis as a service

End-to-end bioinformatic analysis from raw data through to publication-ready results.

Resources

Shared experimental resources across InTraC

Browse available mouse strains, standardised protocols, validated antibodies, and PET tracers shared across consortium projects.

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Need help with your data?

We provide consulting, mentoring and full bioinformatic analysis for all InTraC projects.

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